Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- ADHD (1)
- Analysis (1)
- Clustering (1)
- Correlation (1)
- Discrete wavelet transform (1)
-
- Electroencephalography (1)
- Experimental (1)
- Eye tracking technology (1)
- Feature extraction (1)
- Feature selection (1)
- Gene expression patterns (1)
- Health aspects (1)
- Machine learning (1)
- Medical research (1)
- Medicine (1)
- Mental illness (1)
- Nervous system diseases (1)
- Neurological disorders (1)
- Neurophysiology (1)
- Projection targets (1)
- RAEMAP (1)
- Real-Time Advanced Eye Movement Analysis Pipeline (1)
- Visual analysis (1)
- Visualization (1)
Articles 1 - 3 of 3
Full-Text Articles in Medicine and Health Sciences
Identifying Patterns For Neurological Disabilities By Integrating Discrete Wavelet Transform And Visualization, Soo Yeon Ji, Sampath Jayarathna, Anne M. Perrotti, Katrina Kardiasmenos, Dong Hyun Jeong
Identifying Patterns For Neurological Disabilities By Integrating Discrete Wavelet Transform And Visualization, Soo Yeon Ji, Sampath Jayarathna, Anne M. Perrotti, Katrina Kardiasmenos, Dong Hyun Jeong
Computer Science Faculty Publications
Neurological disabilities cause diverse health and mental challenges, impacting quality of life and imposing financial burdens on both the individuals diagnosed with these conditions and their caregivers. Abnormal brain activity, stemming from malfunctions in the human nervous system, characterizes neurological disorders. Therefore, the early identification of these abnormalities is crucial for devising suitable treatments and interventions aimed at promoting and sustaining quality of life. Electroencephalogram (EEG), a non-invasive method for monitoring brain activity, is frequently employed to detect abnormal brain activity in neurological and mental disorders. This study introduces an approach that extends the understanding and identification of neurological disabilities …
Introducing A Real-Time Advanced Eye Movements Analysis Pipeline, Gavindya Jayawardana
Introducing A Real-Time Advanced Eye Movements Analysis Pipeline, Gavindya Jayawardana
Computer Science Faculty Publications
Real-Time Advanced Eye Movements Analysis Pipeline (RAEMAP) is an advanced pipeline to analyze traditional positional gaze measurements as well as advanced eye gaze measurements. The proposed implementation of RAEMAP includes real-time analysis of fixations, saccades, gaze transition entropy, and low/high index of pupillary activity. RAEMAP will also provide visualizations of fixations, fixations on AOIs, heatmaps, and dynamic AOI generation in real-time. This paper outlines the proposed architecture of RAEMAP.
Global Analysis Of Gene Expression And Projection Target Correlations In The Mouse Brain, Ahmed Fakhry, Tao Zeng, Hanchuan Peng, Shuiwang Ji
Global Analysis Of Gene Expression And Projection Target Correlations In The Mouse Brain, Ahmed Fakhry, Tao Zeng, Hanchuan Peng, Shuiwang Ji
Computer Science Faculty Publications
Recent studies have shown that projection targets in the mouse neocortex are correlated with their gene expression patterns. However, a brain-wide quantitative analysis of the relationship between voxel genetic composition and their projection targets is lacking to date. Here we extended those studies to perform a global, integrative analysis of gene expression and projection target correlations in the mouse brain. By using the Allen Brain Atlas data, we analyzed the relationship between gene expression and projection targets. We first visualized and clustered the two data sets separately and showed that they both exhibit strong spatial autocorrelation. Building upon this initial …